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What is Raptor Services?
Unify your customer interactions across different platforms and channels to create a tailored experience at every touchpoint. By leveraging Raptor’s Merchandising Center, you can convert your recommendation modules into effective advertising spaces on your chosen channels. This method boosts the visibility of particular products, placing them strategically in front of customers to blend relevance with promotional efforts. Furthermore, you can provide instant personalized product suggestions that elevate the shopping encounter to a new level. Consequently, this tactic has the potential to increase basket sizes, enhance order values, improve revenue per visit, and significantly enrich the overall customer experience. Additionally, dispatching highly customized emails that include product recommendations specific to each customer can further deepen customer engagement and foster loyalty over time. This comprehensive approach not only meets customer needs but also positions your brand as a trusted partner in their shopping journey.
What is Amazon Personalize?
Amazon Personalize enables developers to build applications that leverage the sophisticated machine learning technology behind Amazon.com’s real-time personalized recommendations, eliminating the need for specialized machine learning knowledge. This service streamlines the development of applications that can deliver a wide array of customized experiences, including personalized product recommendations, unique product rankings, and tailored marketing initiatives. As a completely managed machine learning solution, Amazon Personalize moves beyond conventional static recommendation systems by creating, refining, and deploying distinct ML models that yield highly specific recommendations across various industries, including retail, media, and entertainment. The platform efficiently manages the necessary infrastructure and oversees the entire machine learning process, which encompasses data processing, feature selection, and the identification of the best algorithms, along with model training, optimization, and hosting. This comprehensive approach allows developers to concentrate on improving user engagement rather than navigating the intricacies of machine learning deployment. Consequently, Amazon Personalize serves as a powerful tool that not only simplifies the recommendation process but also enhances customer satisfaction through more relevant interactions.
Integrations Supported
AWS AI Services
ActiveCampaign
Apsis One
CanopyDeploy
Drupal
Elasticsearch
Facebook
Google
IBM Watson
Klaviyo
Integrations Supported
AWS AI Services
ActiveCampaign
Apsis One
CanopyDeploy
Drupal
Elasticsearch
Facebook
Google
IBM Watson
Klaviyo
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Raptor Services
Date Founded
2013
Company Location
Denmark
Company Website
www.raptorservices.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/personalize/
Categories and Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
Personalization
A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization
Categories and Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights